Abstract: A system for monitoring a fill level of a container includes a wireless module disposed on the container including an enclosure, a processor and a wireless transceiver disposed within the enclosure, and a cable mounted to the enclosure. A first pressure sensor is attached to an end of the cable distal from the enclosure and a second pressure sensor is attached to an opposite end within the enclosure. The enclosure is mounted outside of the container. The cable is inserted into the container such that the first pressure sensor is disposed near a bottom of the container. The first pressure sensor measures a pressure at the bottom of the container. The second pressure sensor measures a pressure outside of the container. The readings from the first pressure sensor and the second pressure sensor are cross-correlated to determine a net pressure for use in calculating the fill level of the container.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that facilitate resource and space efficient analysis of large scale datasets. Methods include obtaining activity data for objects in a dataset. For each data item in the dataset, a hashed parameter having a binary representation is generated using an identifier for the object. A register is identified from among a set of registers based on the hashed parameter. A determination is made that the hashed parameter for the object contributes to an aggregation amount that specifies a number of occurrences of the object in the dataset. Based on this determination, an aggregation amount stored in the register is updated. Based on aggregation amounts stored in the set of registers, a reporting output is generated that provides an aggregate distribution of the objects in the dataset based on the activity data for the objects.

Abstract: Apparatus and associated methods relate to predicting failure and/or estimating remaining useful life of an air-data-probe heater. Failure is predicted or useful life is estimated based on an electrical metric of the electrical operating power provided to a resistive heating element of the air-data-probe heater. The electrical metric of the air data probe heater is one or more of: i) phase relation between voltage across the resistive heating element and leakage current, which is conducted from the resistive heating element to a conductive sheath surrounding the resistive heating element; ii) a time-domain profile of leakage current through the heating element insulation during a full power cycle; and/or iii) high-frequency components of the electrical current conducted by the resistive heating element and/or the voltage across the resistive heating element.

Abstract: A system and method for detecting a phase-to-ground fault in an AC electrical machine operates to receive measurements of three-phase voltages and currents provided to the AC electrical machine, compute at least one of a zero sequence component and a negative sequence component of voltage and current from the three-phase voltages and currents, and calculate a fault severity index (FSI) based on the zero or negative sequence component of voltage and current, so as to identify a phase-to-ground fault in the AC electrical machine. Calculating the FSI further includes determining a total value of the zero or negative sequence current, determining a noise-contributed value of the zero or negative sequence current included in the total value, determining a compensated value of the zero or negative sequence current based on the total value and the noise-contributed value, and calculating the FSI based on the compensated value.

Abstract: A pulse baseline value calculation method and a particle counting method of a blood cell analyzer. The said pulse baseline value calculation method, within pulse non-duration time, if an absolute value of a difference value between any two adjacent data of n continuous sampled data is less than a baseline threshold, and the n continuous sampled data are closest to a pulse starting point, an average value of the n continuous sampled data is calculated, and the average value is a pulse baseline value. The present invention has the advantages of setting the baseline threshold and performing comparison, avoiding the sampled data of the baseline where the noise is superimposed, selecting the sampled data with noise or interference within an allowable range for calculation, avoiding accumulating the noise on the final baseline value, making the baseline value be closer to the real data, greatly reducing the erroneous judgment of the baseline value, and making the particle count be more accurate.

Abstract: A method of identifying the properties of a washload contained in a washing machine based on variations in the output of a water level sensor resulting from transitions that alter the water level in the washer without requiring a change in the volume of water in the washer. Results are independent of the initial wetness of the washload. However initial wetness can also be determined. Variations are at least in part a function of the rate at which the wetness of the washload changes. The rate is nonlinear determined by the composition of the washload. In most transitions the water level is also affected by other factors most of which are at least in part a function of the composition. To simplify the identification preferred transitions occur once the washload wetness has reached equilibrium. To increase accuracy preferably both wetting and dehydrating transitions are used for identification.

Abstract: Methods, systems, apparatuses, and computer program products are provided for enabling devices to determine the time zone in which they are located. A mobile device may receive location information from one or more sources. Based thereon, the current location of the mobile device may be determined in terms of latitude and longitude. The indication of the current location may be converted to an index value according to a Hilbert curve (or other space-filling curve), and the index value applied to a time zone index file to determine the local time zone. A time zone setting of the mobile device may be updated accordingly. Furthermore, “geofencing” may be used by the mobile device to detect movement towards and through a time zone boundary, leading to a new time zone determination being initiated.

Abstract: A method for real-time prediction of wind conditions across a wind farm comprising a plurality of wind turbines, the wind farm being arranged at a wind farm site, is disclosed. A first library of site specific mean wind flow patterns related to the wind farm site, and a second library of non-site specific turbulence patterns, are provided. Weather data is measured at a plurality of positions within the wind farm site, and based on the measured weather data, a mean wind flow pattern is selected based on the first library and a turbulence pattern is selected based on the second library. A site specific wind flow field across the wind farm site is modelled, based on the selected mean wind flow pattern and the selected turbulence pattern, and wind conditions across the wind farm are predicted, based on the site specific wind flow field.

Abstract: An apparatus includes a mechanical switch and a solid-state switch, such as a diamond switch or antiparallel-connected thyristor pair, coupled in series between an AC source and the load, such as a substation input transformer. The control circuit may be configured to connect the AC power source to the load by closing the mechanical switch and turning on the solid-state switch thereafter. The control circuit may be configured to interrupt a connection of the AC source to the load by turning off the solid-state switch and closing the mechanical switch thereafter. Operations of the switches may be coordinated with a fuse coupled in series with the solid-state switch to address different types of fault conditions.

Abstract: A method and apparatus for performing anomaly detection by using a neural network are provided. The apparatus is configured to extract input features of an input data signal, obtain output features of the neural network by processing the input features through the neural network, obtain an error based on the input features and the output features, and determine whether the input data signal indicates an abnormal signal based on the error and a threshold.

Abstract: A method is provided for calibrating impedance-spectroscopic biomass sensors that are embodied to detect information regarding the quantity and/or size of living cells in a biomass by means of an electric field having a periodically changing field direction A calibration suspension encompasses an electrically conductive viscously flowable or viscoelastic carrier substance and electrically conductive solid particles and/or solid semiconductor particles received therein. An electric field is generated having a periodically changing field direction, which acts on the calibration suspension. At least one permittivity value is detected, respectively representing a permittivity of the calibration suspension, in a context of at least two electric fields having different field direction change frequencies. A difference value is ascertained that represents a difference between the detected permittivity values. The difference value is compared with a reference value associated with the calibration suspension.

Abstract: A graphical user interface may provide a digital map that includes digital marks for utility lines and excavation boundary. To determine the location information of a ground mark, a computing server may receive an image of a street view of a site and identify one or more ground marks from the image. The computing server may receive geographic information system (GIS) data, which records surveyed location information of benchmarks at the site. The computing server may identify, using an object recognition algorithm, pixels in the image of the street view that correspond to the benchmarks recorded in the GIS data. The computing server may determine, based on relative distances between the pixels that correspond to the benchmarks and the ground marks, location data of the ground marks. The computing server may transmit the location data for display in a digital map that includes digital marks corresponding to the ground marks.

Abstract: A system for identifying an anomaly in flow meter proving equipment includes four detectors D1, D2, D3, and D4. A data acquisition and monitoring system is configured to signals from D1, D2, D3, and D4 to measure flow volumes between D1 and D3 as a measured volume Va, between D2 and D4 as a measured volume Vb, between D2 and D3 as a measured volume Vc, and between D1 and D4 as a measured volume Vd. The data acquisition and monitoring system calculates Va+Vb?Vc?Vd plus a max uncertainty as an upper range value and Va+Vb?Vc?Vd minus the max uncertainty as a lower range value. The data acquisition and monitoring system identifies an anomaly in response to the upper range value being less than zero or the lower range value being greater than zero and initiates recalibration of the prover in response to the identifying of the anomaly.

Abstract: A monitor circuit for use in a management system with modular subsystems includes: a sensor configured to measure parameter values of a monitored electrical component as a function of time; and storage coupled to the sensor and configured to store the parameter values. The monitor circuit also includes frame preparation circuitry coupled to the storage and configured to prepare frames that include the parameter values, wherein the prepared frames vary in length as a function of time.

Abstract: A method includes attaching a sensor calibration tool to a drill string. The sensor calibration tool includes a first tool sensor configured to measure a first operational parameter. A first tool sensor measurement of the first operational parameter is received from the first tool sensor, where the drill string is disposed at least partially within a wellbore and supported by a surface rig system and the sensor calibration tool is positioned on the drill string at a surface location proximate to the surface rig system. A first rig sensor measurement of the first operational parameter is received from a first rig sensor positioned on a first surface component of the surface rig system. The first rig sensor is calibrated based on a comparison of the first tool sensor measurement with the first rig sensor measurement.

Abstract: A sensor assembly includes a base, a sensor body mounted to the base and rotatable around an axis relative to the base, a sensor window fixed relative to the sensor body, a sensing apparatus inside the sensor body and having a field of view through the sensor window, a vapor chamber fixed relative to the sensor body, and a heat pipe extending from the sensor body to the vapor chamber. The vapor chamber is spaced radially outward from the sensor body relative to the axis and has a curved shape extending circumferentially around the axis.

Abstract: The present disclosure relates to a fracturing system comprising a functional unit, an electricity supply unit, and an energy storage unit. The functional unit is configured to perform procedures of fracturing operations. The electricity supply unit is electrically connected with the functional unit and is configured to supply electrical energy to the functional unit. The energy storage unit is respectively electrically connected with the electricity supply unit and the functional unit, and is configured to store electrical energy from the electricity supply unit and supply electrical energy to the functional unit.

Abstract: Provided is a water leakage detection device, including: a pair of metal electrodes containing a first end and a second end; a warning device connected to the first end of the pair of metal electrodes, and configured to issue a warning based on a potential difference between the pair of metal electrodes; and a power supply which is connected to the second end of the pair of metal electrodes, and configured to apply a voltage between the pair of metal electrodes.

Abstract: A differential emissivity imaging device for measuring evaporable particle properties can include a heated plate, a thermal camera, a memory device, and an output interface. The heated plate can have an upper surface oriented to receive falling evaporable particles. The evaporable particles have a particle emissivity and the upper surface has a plate surface emissivity. The thermal camera can be oriented to produce a thermal image of the upper surface. A memory device can include instructions that cause the imaging device to calculate a mass of the individual evaporable particle via heat conduction using a calculated surface area and an evaporation time.

Abstract: A method may include obtaining geological data and seismic data regarding a geological region of interest, wherein the geological data includes grain size data. The method may further include determining a first set of sedimentary pathways using the grain size data. The method may further include determining a topographical surface for the geological region of interest using the seismic data or/and well data. The method may further include determining, by the computer processor, a second set of sedimentary pathways using the topographical surface. The method may further include generating various output sedimentary pathways based on a combination of the first set of sedimentary pathways and the second set of sedimentary pathways.